%0 Journal Article %1 M__2015 %A Bhongade, Pankaj M. %A Kshirsagar, Dr. M. M. %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K Data analysis mining preprocessing public sentiment topic %N 2 %P 481--483 %R 10.17762/ijritcc2321-8169.150211 %T Analyzing Public Sentiments: A Review %U http://dx.doi.org/10.17762/ijritcc2321-8169.150211 %V 3 %X Large number of users share their opinions on Social networking sites. it can be useful for analyzing sentiments of different peoples about different domains/products. so that this analysis can be beneficial for making various decisions in various fields. For instance a company can analyze sentiments about products while a politician can view comments about them to improve their position in the society. in previous studies only track of sentiments can be taken but in this we are trying to analyze the public sentiments and trying to find out the possible reasons behind variation about comments based on that we tries to propose a system and tries to improve performance of system

@article{M__2015, abstract = {Large number of users share their opinions on Social networking sites. it can be useful for analyzing sentiments of different peoples about different domains/products. so that this analysis can be beneficial for making various decisions in various fields. For instance a company can analyze sentiments about products while a politician can view comments about them to improve their position in the society. in previous studies only track of sentiments can be taken but in this we are trying to analyze the public sentiments and trying to find out the possible reasons behind variation about comments based on that we tries to propose a system and tries to improve performance of system}, added-at = {2015-08-04T06:38:53.000+0200}, author = {Bhongade, Pankaj M. and Kshirsagar, Dr. M. M.}, biburl = {https://www.bibsonomy.org/bibtex/21e7bc1c009d9d7a6227746b7a5c317ef/ijritcc}, doi = {10.17762/ijritcc2321-8169.150211}, interhash = {8d924222d96fa6869ac36543a750d280}, intrahash = {1e7bc1c009d9d7a6227746b7a5c317ef}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {Data analysis mining preprocessing public sentiment topic}, month = {february}, number = 2, pages = {481--483}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-08-04T06:38:53.000+0200}, title = {Analyzing Public Sentiments: A Review}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.150211}, volume = 3, year = 2015 }